Comprehensive side-by-side LLM comparison
Kimi K2 offers 132.1K more tokens in context window than GPT-OSS-120B. Kimi K2 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
21 days newer
Kimi K2
Moonshot AI
2025-07-11

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
GPT-OSS-120B
Kimi K2
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-120B
Hugging Face
Kimi K2
GPT-OSS-120B
Kimi K2
GPT-OSS-120B
Kimi K2
Moonshot AI